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miRNA signatures can predict acute liver failure in hepatitis E infected pregnant females

View Article: PubMed Central - PubMed

ABSTRACT

Background: Acute viral hepatitis E (AVH-E) can often result in acute liver failure (ALF) during pregnancy. microRNAs serve as mediators in drug induced liver failure. We investigated their role as a biomarker in predicting ALF due to HEV (ALF-E).

Methods: We performed next generation sequencing and subsequent validation studies in PBMCs of pregnant (P) self limiting AVH-E, ALF due to HEV (ALF-E) and compared with AVH-E in non-pregnant (NP) females and healthy controls.

Findings: Eleven microRNAs were significantly expressed in response to HEV infection; importantly, miR- 431, 654, 1468 and 4435, were distinctly expressed in pregnant self-limiting AVH-E and healthy females (p = 0.0005), but not in ALF-E. Sixteen exclusive microRNAs differentiated ALF-E from self limiting AVH-E in pregnant females. miR-450b which affects cellular proliferation and metabolic processes through RNF20 and SECB was predominanlty upregulated and correlated with poor outcome (ROC 0.958, p = 0.001).

Interpretation: Our results reveal that a specific microRNA profile can predict fatality in ALF-E in pregnancy. These microRNAs could be exploited as prognostic biomarkers and help in the development of new therapeutic interventions.

No MeSH data available.


Related in: MedlinePlus

(A-B) Scatterplot representation of comparative global miR and gene expression profiles between AVH-E(P), ALF-E(P) and HC(P) patient groups. X and Y axis shows expression levels of miRs and genes between two groups. R2 value, a measure of goodness-of-fit of linear regression indicates the degree of correlation between the subjects.
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fig0010: (A-B) Scatterplot representation of comparative global miR and gene expression profiles between AVH-E(P), ALF-E(P) and HC(P) patient groups. X and Y axis shows expression levels of miRs and genes between two groups. R2 value, a measure of goodness-of-fit of linear regression indicates the degree of correlation between the subjects.

Mentions: Principal component analysis was used to evaluate the overall variance between four groups and PCA separated pregnant (P) from non-pregnant (NP) groups (Fig. 1E). Further, regression analysis showed a linear correlation in pregnant AVH-E and ALF-E (R2 = 0.957), ALF-E and healthy controls (R2 = 0.928) and AVH-E and controls (R2 = 0.984) (Fig. 2A).


miRNA signatures can predict acute liver failure in hepatitis E infected pregnant females
(A-B) Scatterplot representation of comparative global miR and gene expression profiles between AVH-E(P), ALF-E(P) and HC(P) patient groups. X and Y axis shows expression levels of miRs and genes between two groups. R2 value, a measure of goodness-of-fit of linear regression indicates the degree of correlation between the subjects.
© Copyright Policy - CC BY-NC-ND
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC5384411&req=5

fig0010: (A-B) Scatterplot representation of comparative global miR and gene expression profiles between AVH-E(P), ALF-E(P) and HC(P) patient groups. X and Y axis shows expression levels of miRs and genes between two groups. R2 value, a measure of goodness-of-fit of linear regression indicates the degree of correlation between the subjects.
Mentions: Principal component analysis was used to evaluate the overall variance between four groups and PCA separated pregnant (P) from non-pregnant (NP) groups (Fig. 1E). Further, regression analysis showed a linear correlation in pregnant AVH-E and ALF-E (R2 = 0.957), ALF-E and healthy controls (R2 = 0.928) and AVH-E and controls (R2 = 0.984) (Fig. 2A).

View Article: PubMed Central - PubMed

ABSTRACT

Background: Acute viral hepatitis E (AVH-E) can often result in acute liver failure (ALF) during pregnancy. microRNAs serve as mediators in drug induced liver failure. We investigated their role as a biomarker in predicting ALF due to HEV (ALF-E).

Methods: We performed next generation sequencing and subsequent validation studies in PBMCs of pregnant (P) self limiting AVH-E, ALF due to HEV (ALF-E) and compared with AVH-E in non-pregnant (NP) females and healthy controls.

Findings: Eleven microRNAs were significantly expressed in response to HEV infection; importantly, miR- 431, 654, 1468 and 4435, were distinctly expressed in pregnant self-limiting AVH-E and healthy females (p = 0.0005), but not in ALF-E. Sixteen exclusive microRNAs differentiated ALF-E from self limiting AVH-E in pregnant females. miR-450b which affects cellular proliferation and metabolic processes through RNF20 and SECB was predominanlty upregulated and correlated with poor outcome (ROC 0.958, p = 0.001).

Interpretation: Our results reveal that a specific microRNA profile can predict fatality in ALF-E in pregnancy. These microRNAs could be exploited as prognostic biomarkers and help in the development of new therapeutic interventions.

No MeSH data available.


Related in: MedlinePlus